Data Analysis for Results

Reporting Organization:Johns Hopkins University
Total Budget ($CAD):$ 18,000,000
Timeframe: March 30, 2016 - June 30, 2020
Status: Implementation
Contact Information: Unspecified

Partner & Funder Profiles

Reporting Organization

Johns Hopkins University

Participating Organizations

Funders (Total Budget Contribution)

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Country - Total Budget Allocation

Tanzania, United Republic of - $ 9,000,000.00 (50.00%)

Bangladesh - $ 4,500,000.00 (25.00%)

Mozambique - $ 4,500,000.00 (25.00%)

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Areas of Focus

Other - Total Budget Allocation

Law, Governance & Public Policy (100 %)

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This project aims to develop, implement and refine tools and approaches to strengthen country monitoring and reporting in MNCH and nutrition. The purpose of the Real Accountability: Data Analysis for Results (RADAR) project is for the Institute for International Programs of Johns Hopkins University to work with Canadian institutions and organizations, in-country evaluation partners, governments and development partners in a subset of countries where Canada has maternal, newborn and child health (MNCH) programming. Project activities include: (1) support CAN-MNCH in the training of a cadre of Canadian technical experts that are available to assist in implementing the MNCH results tools in DFATD programs with MNCH programming; (2) support the design of an external, Canadian-based, data repository to ensure data quality, comparability and availability in order to generate regular results reports; (3) assist in the implementation of these tools in a select number of Canada’s MNCH countries in order to validate results, refine the methodologies and ensure proper implementation. The ultimate beneficiaries for this project are mothers and children, as this initiative will develop tools to assess the quality of care provided to mothers and children, in the areas of nutrition and newborn health programs.

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Target Population

Gender and age: Unspecified
Total Direct Population: Unspecified
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Results & Indicators

Expected Results

The expected intermediate outcomes for this project include: (1) increased high quality, gender-sensitive and relevant data available; and (2) enhanced capacity to collect, store, and analyze maternal, newborn and child health data, including analysis by gender.

Achieved Results



  • None Selected
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Associated Projects (If applicable)

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